Instructions to use EdBerg/Baha_19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_19 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "EdBerg/Baha_19") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 170
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 335604696
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fbb2e73e78a9381bc930f58120d54f8ea91ba116a77d080dcc111a75670694d
|
| 3 |
size 335604696
|
runs/Aug14_18-37-30_3b0f34a74211/events.out.tfevents.1723660653.3b0f34a74211.453.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0f8ca3dddb315e7e9c64188ef7d3ecfa37cf003d992dc8ce66a29576878f7fc
|
| 3 |
+
size 9463
|